Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks
Joint Authors
Reyhanoglu, Mahmut
Kayacan, Erdal
Khanesar, Mojtaba Ahmadieh
Rubio-Hervas, Jaime
Source
International Journal of Aerospace Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-09
Country of Publication
Egypt
No. of Pages
12
Abstract EN
A learning control strategy is preferred for the control and guidance of a fixed-wing unmanned aerial vehicle to deal with lack of modeling and flight uncertainties.
For learning the plant model as well as changing working conditions online, a fuzzy neural network (FNN) is used in parallel with a conventional P (proportional) controller.
Among the learning algorithms in the literature, a derivative-free one, sliding mode control (SMC) theory-based learning algorithm, is preferred as it has been proved to be computationally efficient in real-time applications.
Its proven robustness and finite time converging nature make the learning algorithm appropriate for controlling an unmanned aerial vehicle as the computational power is always limited in unmanned aerial vehicles (UAVs).
The parameter update rules and stability conditions of the learning are derived, and the proof of the stability of the learning algorithm is shown by using a candidate Lyapunov function.
Intensive simulations are performed to illustrate the applicability of the proposed controller which includes the tracking of a three-dimensional trajectory by the UAV subject to time-varying wind conditions.
The simulation results show the efficiency of the proposed control algorithm, especially in real-time control systems because of its computational efficiency.
American Psychological Association (APA)
Kayacan, Erdal& Khanesar, Mojtaba Ahmadieh& Rubio-Hervas, Jaime& Reyhanoglu, Mahmut. 2017. Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1158115
Modern Language Association (MLA)
Kayacan, Erdal…[et al.]. Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1158115
American Medical Association (AMA)
Kayacan, Erdal& Khanesar, Mojtaba Ahmadieh& Rubio-Hervas, Jaime& Reyhanoglu, Mahmut. Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1158115
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158115